A mixed coding scheme of PSO and GA-SQP for MINLP in common chemical engineering practice

Name: Manatsanan Chanthasuwannasin

LCSH: Kasetsart University -- Dissertations. Ph.D. (Chemical Engineering) 2017

Classification :.LCCS: TP155.75

LCSH: Kasetsart University. Department of Chemical Engineering -- Dissertations

LCSH: Chemical process control

LCSH: Chemical processes

LCSH: Genetic algorithms

LCSH: Swarm intelligence

Abstract: The design of chemical processes usually is Mixed Integer Nonlinear Programming (MINLP) problems. The optimum design of process leads to a minimum of operating cost and high productivity. In this work, Particle Swarm Optimization (PSO) is proposed and adapted to Hybrid-Genetic Algorithm (GA) for solving the MINLP problems. To clarify these problems, the variables were divided into two groups: discrete and continuous variables. The discrete variables are optimized by the adapted PSO, while the continuous variables are optimized by the GA−SQP using the discrete variable information from the adapted PSO. Therefore, the population can be set to a smaller size than usual to obtain a global solution. The proposed PSO_GA−SQP algorithm is verified using various MINLP problems including the designing of retrofit heat exchanger networks. The fitness values of the tested problems are able to reach the global optimum which a small number of function evolutions is required. The convenient method is proposed in this work for optimizing the of retrofit heat exchanger networks. The optimal network is obtained with the optimal split fractions.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Thongchai Rohitatisha Srinophakun

Role: Thesis Advisor

Name: Paweena Prapainainar

Role: Thesis Co-Advisor

Created: 2017

Modified: 2023-06-19

Issued: 2023-06-19

วิทยานิพนธ์/Thesis

application/pdf

URL: https://kasetsart.idm.oclc.org/login?url=https://www.lib.ku.ac.th/KUthesis/2560/manatsanan-cha-all.pdf

CallNumber: TP155.75.M37

eng

DegreeName: Doctor of Philosophy

Level: Doctoral Degree

Descipline: Chemical Engineering

Grantor: Kasetsart University

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